At a Glance
- Tasks: Design and maintain scalable data infrastructure to drive data-driven decisions.
- Company: Join Gore Mutual, a modern mutual transforming the insurance industry.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on long-term community benefits.
- Why this job: Make a real impact in a collaborative environment focused on innovation.
- Qualifications: 5-8 years of data engineering experience and strong technical skills required.
The predicted salary is between 108000 - 132000 $ per year.
At Gore Mutual, we've always set ourselves apart as a modern mutual that does good. Now, we're proudly building on that legacy to transform our company and our industry for the better. Effective January 1, 2026, Gore has joined Beneva, the country's largest mutual insurance company, as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva's Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability. Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Come join us.
This position requires a strong technical background and is responsible for designing, developing and maintaining scalable data infrastructure on the Databricks lakehouse, the enterprise single source of truth. It plays a pivotal role in enabling data-driven decision making across the enterprise and in providing technical leadership to the data engineering team, with a focus on delivering business value. This role requires close collaboration with cross-functional stakeholders, IT and data science teams.
What will you do in this role:
- Data Modelling, Infrastructure and Design: Develop and maintain scalable, reliable, and resilient systems to evolve and mature our data infrastructure and tech stack. Develop configuration driven, scalable, efficient, and robust data pipelines spanning policy, billing, claims and finance data to support reporting, pricing and analytics. Develop and implement data quality checks within pipelines to ensure the integrity and accuracy of incoming data.
- Data Strategy: Collaborate with cross-functional teams, including data scientists, data product owners, and business stakeholders to understand their data requirements, prioritize work by business value, and deliver high-quality data pipeline solutions, including build-versus-buy recommendations where appropriate.
- Automating Data Management Processes and Handling Data Security: Automate data management processes and handle data security. Ensure that security protocols and best practices are in place to protect against potential security threats.
- Testing and Optimizing Data Platform: Optimize data pipelines to ensure efficient data flow. Ensure that the data extracted from sources is accurate, complete, and usable. Test the efficiency and speed of data pipelines and databases. Verify that different components of the data infrastructure work together as expected.
- Maintenance of Data Platform: Regularly check the health and performance of the data platform. Identify and resolve issues that arise in the data platform. Keep the data platform and engineering practices up to date with the latest technologies and security patches, including AI-assisted development where it improves delivery and quality. Implement strategies to protect data from loss or corruption.
What you need to succeed in this role:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a related field.
- A minimum of 5-8 years of relevant experience as a data engineer is required. This includes experience in data engineering, data system development, or related roles, with demonstrated ownership of initiatives end to end and experience mentoring other engineers.
- Strong understanding of data structures, data modeling, and software architecture, with sound judgment on when to build and when to buy.
- Deep, hands-on knowledge of Azure Databricks and related Microsoft Azure services.
- Strong problem-solving and critical-thinking abilities, with a high sense of ownership and a focus on delivering business value and return on investment.
- Experience with software design patterns, test-driven development (TDD), CI/CD and operating data pipelines as production systems.
- Proficiency in Python, including a strong grasp of Object Oriented and Functional programming paradigms.
- A solid understanding of Spark concepts and distributed systems; experience with dbt and Airflow is an asset.
Lead Data Engineer in Cambridge employer: goremutualinsurance
At Gore Mutual, we pride ourselves on being a modern mutual that prioritizes doing good while fostering a collaborative and innovative work culture. As a Lead Data Engineer, you'll have the opportunity to shape our data infrastructure and drive impactful decisions within a supportive environment that values employee growth and development. With our commitment to long-term stability and community benefits, joining us means being part of a transformative journey in the insurance industry.
